Get the most out of your training, scoring, algorithms and frameworks on Intel® architecture for Deep Learning and Artificial Intelligence.
URL: https://github.com/SatYu26/Invisibility-Cloak
Being a harry potter fan I always had a childhood fantasy of using an invisibility cloak. Well, it turns out that you can create this magical experience using an image processing technique called color detection and segmentation. And the good news is, you don’t need to be part of Hogwarts for that!
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URL: https://github.com/ujjwal-9/bvaa
Smoothed gradient propagation to latent space for the generation of realistic adversarial example.
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URL: https://aifyjs.github.io/how-to/
A single library including which you can automatically bring the power of AI into your website, making it more accessible to people with visual and cognitive disabilities.
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URL: https://youtu.be/4un6CwlX7Dk
Here you go with our next product by the team!! People's presence is detected through camera feed real-time and accordingly the appliances are turned on and off.
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URL: https://github.com/Aya-ZIbra/MyYogini
An app that goes with you to the gym and diagnoses your yoga pose. It gives you corrections and tracks your style progess. This is the ultimate exercise app. Ideally, it will learn over time your particular limitations and not push you so hard that you get injured.
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URL: https://bitbucket.org/abhijit038/deep-learning-for-managing-renewable-energy-generation/
Harnessing power of AI to build a robust solar irradiation forecasting pipeline for efficient management and integration of solar energy in power grids.
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URL: https://github.com/sayakpaul/Emotion-Detection-using-Deep-Learning
This project demonstrates the use of Deep Learning to detect emotion (sad, angry, happy etc) from the images of faces.
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URL: https://github.com/prakhar21/TextAugmentation-GPT2
Currently, GPT2 is being regarded as the World’s Most Advanced Text Generator to be open-sourced. The developer community has been creating some really good use cases over this mammoth. This project shows how we can use GPT2 for Text Augmentation related tasks
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URL: https://github.com/Vraj531/Multiple-Organ-Segmentation
This project is about Biomedical Organ Segmentation on multiple organs using V-net model. Each of the 13 organs were segmented using different colours. It can help doctors to address the challenging task of detecting the type and location of the organ in the human body.
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URL: https://github.com/Prayushi9/AMC-SSDA
This is an Adaptive Multi Column Stacked Sparse Denoising Autoencoder technique to denoise images. In this project, we are trying to improve the result of denoised images using other deep learning techniques like GAN and modified autoencoder.
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URL: https://github.com/Prayushi9/Multi-Organ-Segmentation
This project is about Biomedical Organ Segmentation on multiple organs using V-net model. Each of the 13 organs were segmented using different colours. It can help doctors to address the challenging task of detecting the type and location of the organ in the human body.
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URL: https://github.com/Vraj531/AMC-SSDA
This is an Adaptive Multi Column Stacked Sparse Denoising Autoencoder technique to denoise images. In this project, we are trying to improve the result of denoised images using other deep learning techniques like GAN and modified autoencoder.
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URL: https://github.com/mwt/econ-ipsum
A Lorem Ipsum generator that uses words from the abstracts of various economic papers. It uses NLTK to generate sentences that sound somewhat correct.
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URL: https://gist.github.com/MattWThomas/25f69988105de9a801f6b7fae5e6375d
A GPU accelerated version of the estimator described in Akritas, Murphy, Lavalley 1995. The estimator works for censored independent and response variables even when the process of censorship is unknown. The estimator is highly outlier resistant. I want to make a better one.
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URL: https://github.com/TheShubham99/Voice-Coin
It is a Voice-Based Payment Solution
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URL: https://github.com/TausifAnsari/Traffic-Sign-Recognizer
Traffic sign classification is the process of automatically recognizing traffic signs along the road, including speed limit signs, yield signs, merge signs, etc. Being able to automatically recognize traffic signs enables us to build “smarter cars”.
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URL: https://github.com/ShahzaibAbbas/Intelligent-Logical-Error-Detection-and-Mitigation-Model-for-Python
The majority of IDEs fail to detect logical errors which result not only in debugging cost but also delayed milestones. . This will facilitate developers to detect logical errors at an earlier stage, consequently resulting in minimum development time and on-schedule milestone delivery.
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URL: https://github.com/ayushman17/Tested-Marjoram
I Trained a Computer🖥️ to recognize a [HUMAN], [MOBILE PHONE], [BALL], [BOTTLE].
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URL: https://github.com/prakhar21/Text2Emoji
Text2Emoji helps you add necessary emojis to your text by analysing the emotion behind the writing.
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URL: https://github.com/hexagontechinc/WIP
Streamed vibration charts are analyzed by an AI system in real time. Detected anomalies are logged and surrounding environment data is captured for further model learning purposes. The application is machine anomaly detection for predictive maintenance.
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